Eliot L. Gardner

13.2k total citations
186 papers, 10.2k citations indexed

About

Eliot L. Gardner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Eliot L. Gardner has authored 186 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Cellular and Molecular Neuroscience, 80 papers in Molecular Biology and 48 papers in Pharmacology. Recurrent topics in Eliot L. Gardner's work include Neurotransmitter Receptor Influence on Behavior (141 papers), Neuroscience and Neuropharmacology Research (79 papers) and Receptor Mechanisms and Signaling (64 papers). Eliot L. Gardner is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (141 papers), Neuroscience and Neuropharmacology Research (79 papers) and Receptor Mechanisms and Signaling (64 papers). Eliot L. Gardner collaborates with scholars based in United States, Italy and China. Eliot L. Gardner's co-authors include Zheng‐Xiong Xi, Charles R. Ashby, Joyce H. Lowinson, William Paredes, Xiao‐Qing Peng, Stanislav R. Vorel, R. Suzanne Zukin, Christian Heidbreder, Hai‐Ying Zhang and Ann Tempel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Eliot L. Gardner

181 papers receiving 10.0k citations

Peers

Eliot L. Gardner
Gianluigi Tanda United States
Loren H. Parsons United States
Walter Fratta Italy
Olga Valverde Spain
Anton N. M. Schoffelmeer Netherlands
Robert L. Balster United States
Zheng‐Xiong Xi United States
Assunta Impérato Italy
Jeffrey M. Witkin United States
Stephan Hjorth Sweden
Gianluigi Tanda United States
Eliot L. Gardner
Citations per year, relative to Eliot L. Gardner Eliot L. Gardner (= 1×) peers Gianluigi Tanda

Countries citing papers authored by Eliot L. Gardner

Since Specialization
Citations

This map shows the geographic impact of Eliot L. Gardner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eliot L. Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eliot L. Gardner more than expected).

Fields of papers citing papers by Eliot L. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eliot L. Gardner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eliot L. Gardner. The network helps show where Eliot L. Gardner may publish in the future.

Co-authorship network of co-authors of Eliot L. Gardner

This figure shows the co-authorship network connecting the top 25 collaborators of Eliot L. Gardner. A scholar is included among the top collaborators of Eliot L. Gardner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eliot L. Gardner. Eliot L. Gardner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
You, Zhi‐Bing, Eliot L. Gardner, Ewa Galaj, et al.. (2022). Involvement of the ghrelin system in the maintenance of oxycodone self-administration: converging evidence from endocrine, pharmacologic and transgenic approaches. Molecular Psychiatry. 27(4). 2171–2181. 13 indexed citations
2.
He, Yi, Graziella Madeo, Ying Liang, et al.. (2022). A red nucleus–VTA glutamate pathway underlies exercise reward and the therapeutic effect of exercise on cocaine use. Science Advances. 8(35). eabo1440–eabo1440. 14 indexed citations
3.
Gondré‐Lewis, Marjorie C., Igor Elman, Tanya N. Alim, et al.. (2022). Frequency of the Dopamine Receptor D3 (rs6280) vs. Opioid Receptor µ1 (rs1799971) Polymorphic Risk Alleles in Patients with Opioid Use Disorder: A Preponderance of Dopaminergic Mechanisms?. Biomedicines. 10(4). 870–870. 13 indexed citations
4.
Farokhnia, Mehdi, Lia J. Zallar, Zhi‐Bing You, et al.. (2021). A closer look at alcohol‐induced changes in the ghrelin system: novel insights from preclinical and clinical data. Addiction Biology. 27(1). e13033–e13033. 23 indexed citations
5.
You, Zhi‐Bing, Ewa Galaj, Francisco Alén, et al.. (2021). Involvement of the ghrelin system in the maintenance and reinstatement of cocaine-motivated behaviors: a role of adrenergic action at peripheral β1 receptors. Neuropsychopharmacology. 47(8). 1449–1460. 18 indexed citations
6.
Zhang, Hai‐Ying, Ramesh Chandra, Hui Shen, et al.. (2021). Repeated cocaine administration upregulates CB2 receptor expression in striatal medium-spiny neurons that express dopamine D1 receptors in mice. Acta Pharmacologica Sinica. 43(4). 876–888. 15 indexed citations
7.
Spiller, Krista J., Guo‐Hua Bi, Yi He, et al.. (2019). Cannabinoid CB1 and CB2 receptor mechanisms underlie cannabis reward and aversion in rats. British Journal of Pharmacology. 176(9). 1268–1281. 50 indexed citations
8.
Gao, J, Chloe J. Jordan, Guo‐Hua Bi, et al.. (2018). Deletion of the type 2 metabotropic glutamate receptor increases heroin abuse vulnerability in transgenic rats. Neuropsychopharmacology. 43(13). 2615–2626. 16 indexed citations
9.
You, Zhi‐Bing, Bin Wang, Eliot L. Gardner, & Roy A. Wise. (2018). Cocaine and cocaine expectancy increase growth hormone, ghrelin, GLP-1, IGF-1, adiponectin, and corticosterone while decreasing leptin, insulin, GIP, and prolactin. Pharmacology Biochemistry and Behavior. 176. 53–56. 23 indexed citations
10.
Zhang, Hai‐Ying, Guo-Hua Bi, Yi He, et al.. (2017). The Novel Modafinil Analog, JJC8-016, as a Potential Cocaine Abuse Pharmacotherapeutic. Neuropsychopharmacology. 42(9). 1871–1883. 28 indexed citations
11.
Zhang, Hai‐Ying, Ming Gao, Hui Shen, et al.. (2016). Expression of functional cannabinoid CB 2 receptor in VTA dopamine neurons in rats. Addiction Biology. 22(3). 752–765. 120 indexed citations
12.
13.
Li, Xia, Jie Li, Eliot L. Gardner, & Zheng‐Xiong Xi. (2010). Activation of mGluR7s inhibits cocaine‐induced reinstatement of drug‐seeking behavior by a nucleus accumbens glutamate‐mGluR2/3 mechanism in rats. Journal of Neurochemistry. 114(5). 1368–1380. 62 indexed citations
14.
Li, Xia, Jie Li, Xiao‐Qing Peng, et al.. (2009). Metabotropic Glutamate Receptor 7 Modulates the Rewarding Effects of Cocaine in Rats: Involvement of a Ventral Pallidal GABAergic Mechanism. Neuropsychopharmacology. 34(7). 1783–1796. 60 indexed citations
15.
16.
Luo, Feng, Zheng‐Xiong Xi, Gaohong Wu, et al.. (2004). Attenuation of brain response to heroin correlates with the reinstatement of heroin-seeking in rats by fMRI. NeuroImage. 22(3). 1328–1335. 30 indexed citations
17.
Hayes, Robert J., Stanislav R. Vorel, Jordan Spector, Xinhe Liu, & Eliot L. Gardner. (2003). Electrical and chemical stimulation of the basolateral complex of the amygdala reinstates cocaine-seeking behavior in the rat. Psychopharmacology. 168(1-2). 75–83. 53 indexed citations
18.
Elster, Jon, Karl Ove Moene, George Ainslie, et al.. (1999). Getting Hooked. Cambridge University Press eBooks. 43 indexed citations
19.
Gifford, Andrew N., Eliot L. Gardner, & Charles R. Ashby. (1997). The Effect of Intravenous Administration of Delta-9-Tetrahydrocannabinol on the Activity of A10 Dopamine Neurons Recorded in vivo in Anesthetized Rats. Neuropsychobiology. 36(2). 96–99. 18 indexed citations
20.
Chen, Jianping, William Paredes, Joyce H. Lowinson, & Eliot L. Gardner. (1991). Strain-specific facilitation of dopamine efflux by Δ9-tetrahydrocannabinol in the nucleus accumbens of rat: An in vivo microdialysis study. Neuroscience Letters. 129(1). 136–140. 106 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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